ZeinBarhoum/RL-quadrotor
Reinforcement Learning for quadrotor trajectory planning and control
This project helps robotics engineers and researchers evaluate how different reinforcement learning (RL) algorithms perform at controlling a quadrotor during takeoff. You provide the quadrotor model within a simulation, and it outputs data and visualizations showing how well algorithms like SAC, DDPG, or PPO manage to achieve stable flight.
No commits in the last 6 months.
Use this if you are a robotics engineer or researcher experimenting with various RL approaches for quadrotor flight control in a simulated environment.
Not ideal if you need to control a physical quadrotor or require a production-ready flight control system.
Stars
72
Forks
3
Language
Python
License
—
Category
Last pushed
Jun 10, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ZeinBarhoum/RL-quadrotor"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
LucasAlegre/sumo-rl
Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with...
hilo-mpc/hilo-mpc
HILO-MPC is a Python toolbox for easy, flexible and fast development of...
reiniscimurs/DRL-robot-navigation
Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin...
kyegomez/RoboCAT
Implementation of Deepmind's RoboCat: "Self-Improving Foundation Agent for Robotic Manipulation"...
cbfinn/gps
Guided Policy Search